Creating instruction tuned models (Practical ...

This week I'm joined by Peer Richelsen, co-founder of Cal.com. What if the majority of open source repositories are already compromised and we just don't know it yet? That's the theory Peer brings to the table this week. We dig into how AI has flattened the knowledge graph to the ...  Show more

Sam Lambert is back after 4 years and he does not hold back! We cover $5 PlanetScale Postgres, the Neki "do-over" of Vitess, agents shipping schema changes through deploy requests, rolling back a 500TB table in seconds, and the very real question of whether to open source any of ...  Show more

Daniel had the chance to sit down with @swyx and Alessio from the Latent Space pod in SF to talk about current AI trends and to highlight some key learnings from past episodes. The discussion covers open access LLMs, smol models, model controls, prompt engineering, and LLMOps. Th ...  Show more

Recently Chris and Daniel briefly discussed the Open RAIL-M licensing and model releases on Hugging Face. In this episode, Daniel follows up on this topic based on some recent practical experience. Also included is a discussion about graph neural networks, message passing, and tw ...  Show more

Summary In this episode of the Data Engineering Podcast Gleb Mezhanskiy, CEO and co-founder of DataFold, talks about the intersection of AI and data engineering. He discusses the challenges and opportunities of integrating AI into data engineering, particularly using large langua ...  Show more

Summary In this episode of the Data Engineering Podcast Dan Bruckner, co-founder and CTO of Tamr, talks about the application of machine learning (ML) and artificial intelligence (AI) in master data management (MDM). Dan shares his journey from working at CERN to becoming a data ...  Show more